At a Glance
- Tasks: Design and improve computer vision pipelines for sports broadcasting.
- Company: Leading sports tech company with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and dynamic team environment.
- Why this job: Join a cutting-edge project that transforms sports viewing experiences.
- Qualifications: Strong experience in computer vision and Python, especially with sports video.
- Other info: Fast-paced contract role with opportunities to make a real impact.
Overview
Contract Computer Vision Engineer – Sports Broadcasting
Contract: 6 months
Location: London / Hybrid
Rate: Up to £800 per day
Responsibilities
- Design, build, and improve computer vision pipelines operating on sports broadcast video
- Develop models for tasks such as object detection, tracking, event recognition, or temporal analysis
- Work with broadcast-quality footage, including multiple camera angles, replays, overlays, and compression artefacts
- Handle common broadcast challenges such as replays, inconsistent framing, occlusions, and missing context
- Ensure extracted outputs are accurate, consistent, and production-ready
- Collaborate closely with engineers and domain specialists to align on definitions and edge cases
- Contribute pragmatically in a contract environment, owning delivery end to end
Must-have
- Strong commercial experience as a Computer Vision Engineer
- Hands-on experience working with sports broadcast video (live or recorded)
- Solid Python experience and common CV libraries / frameworks
- Experience deploying CV models into real production systems
- Comfortable working with noisy, imperfect, real-world data
- Able to work independently and deliver within tight timelines
Nice to have
- Experience with video pipelines or streaming systems
- Exposure to real-time or near-real-time CV workloads
- Experience working alongside data or analytics teams
Computer Vision Engineer (Contract | Outside IR35 | Up to £700/day) employer: OpenSource
Contact Detail:
OpenSource Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer (Contract | Outside IR35 | Up to £700/day)
✨Tip Number 1
Network like a pro! Reach out to folks in the sports broadcasting and computer vision space. Attend meetups, webinars, or even just slide into DMs on LinkedIn. You never know who might have the inside scoop on a contract opportunity!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with computer vision pipelines, especially those related to sports. Use real-world examples to demonstrate how you tackled challenges like occlusions or inconsistent framing.
✨Tip Number 3
Prepare for interviews by brushing up on common CV challenges in sports broadcasting. Be ready to discuss how you've handled noisy data or deployed models in production. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Computer Vision Engineer (Contract | Outside IR35 | Up to £700/day)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with computer vision, especially in sports broadcasting. We want to see how you've tackled challenges like occlusions and inconsistent framing, so don’t hold back!
Showcase Your Projects: Include specific projects where you've designed or improved computer vision pipelines. If you've worked with live or recorded sports footage, let us know! Real-world examples can really make your application stand out.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so explain how your skills align with the responsibilities listed in the job description without fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at OpenSource
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of computer vision libraries and frameworks, especially those relevant to sports broadcasting. Be ready to discuss your hands-on experience with Python and how you've tackled challenges like occlusions or inconsistent framing in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed and improved computer vision pipelines. Think about the common broadcast challenges you've faced and how you overcame them, as this will demonstrate your ability to deliver in a contract environment.
✨Understand the Broadcast Context
Familiarise yourself with the nuances of working with broadcast-quality footage. Be ready to discuss how you handle multiple camera angles, replays, and compression artefacts, as this knowledge will set you apart from other candidates.
✨Collaborate and Communicate
Since collaboration is key, think about how you've worked with engineers and domain specialists in the past. Be prepared to discuss how you align on definitions and edge cases, as well as how you ensure that outputs are accurate and production-ready.